%0 Journal Article
%@ 1438-8871
%I JMIR Publications
%V 26
%N 
%P e54948
%T Integrating Text and Image Analysis: Exploring GPT-4V’s Capabilities in Advanced Radiological Applications Across Subspecialties
%A Busch,Felix
%A Han,Tianyu
%A Makowski,Marcus R
%A Truhn,Daniel
%A Bressem,Keno K
%A Adams,Lisa
%+ Department of Neuroradiology, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Charitépl. 1, Berlin, 10117, Germany, 49 3045050, felix.busch@charite.de
%K GPT-4
%K ChatGPT
%K Generative Pre-Trained Transformer
%K multimodal large language models
%K artificial intelligence
%K AI applications in medicine
%K diagnostic radiology
%K clinical decision support systems
%K generative AI
%K medical image analysis
%D 2024
%7 1.5.2024
%9 Research Letter
%J J Med Internet Res
%G English
%X This study demonstrates that GPT-4V outperforms GPT-4 across radiology subspecialties in analyzing 207 cases with 1312 images from the Radiological Society of North America Case Collection.
%M 38691404
%R 10.2196/54948
%U https://www.jmir.org/2024/1/e54948
%U https://doi.org/10.2196/54948
%U http://www.ncbi.nlm.nih.gov/pubmed/38691404